机器学习一些核心概念的解读文档汇总

这里我找了别人的一些博客，都是机器学习方面的重点名词。在此膜拜各位大佬：
0/1 loss
http://www.csuldw.com/2016/03/26/2016-03-26-loss-function/
k折交叉验证
https://blog.csdn.net/weixin_40475450/article/details/80578943
Adaboost 集成学习
https://blog.csdn.net/px_528/article/details/72963977
ART
https://blog.csdn.net/yongjinjiang/article/details/79644213
bagging
https://blog.csdn.net/H_hei/article/details/84196235
bellman 等式
https://blog.csdn.net/givemehug/article/details/89608415
玻尔兹曼分布与玻尔兹曼机
https://blog.csdn.net/weixin_42398658/article/details/84060223
https://blog.csdn.net/changdejie/article/details/78102894
这里也可以找找模拟退火算法看看感觉有共通性
boosting
https://www.cnblogs.com/earendil/p/8872001.html
BP神经网络
https://blog.csdn.net/u014303046/article/details/78200010/
CART决策树
https://www.cnblogs.com/anai/p/12160820.html
ECOC（西瓜书里面我觉得是个大大的难点）
https://www.deeplearn.me/587.html
Elman网络
https://blog.csdn.net/fengzhimohan/article/details/80847979
EM
https://blog.csdn.net/u010834867/article/details/90762296
Fisher判别
https://blog.csdn.net/gwplovekimi/article/details/80299070
Friedman检验
http://blog.sina.com.cn/s/blog_44befaf6010170yn.html
frobenius范数
https://blog.csdn.net/lthirdonel/article/details/80920199
HOEFFING不等式
https://www.jianshu.com/p/f0a053e85f42
hinge损失
https://blog.csdn.net/fendegao/article/details/79968994
ID3决策树
https://www.cnblogs.com/gfgwxw/p/9439482.html
ILP整数规划
https://blog.csdn.net/Silience_Probe/article/details/80700042
K-赌博机
https://tech.ifeng.com/a/20180610/45020213_0.shtml
KKT
https://blog.csdn.net/johnnyconstantine/article/details/46335763
KL散度
https://blog.csdn.net/weixinhum/article/details/85064685
KOHENEN网络
http://blog.sina.com.cn/s/blog_92d2c5e10102vava.html
KNN
https://www.cnblogs.com/jyroy/p/9427977.html
K-均值
https://www.jianshu.com/p/3963928d38de
L1/L2正则化
https://blog.csdn.net/zhaomengszu/article/details/81537197
LASSO
https://blog.csdn.net/pxhdky/article/details/82960659
lipschitz条件
https://blog.csdn.net/Chaolei3/article/details/81202544
LVQ
https://blog.csdn.net/burpee/article/details/79908488
MP神经元
https://blog.csdn.net/antkillerfarm/article/details/74187428
McDiarmid不等式
好吧这个没找到，好像上面的霍夫丁不等式是这玩意的特例来着？
MCMC
https://www.cnblogs.com/chaofn/p/9425218.html
McNemar检验
https://www.jianshu.com/p/0991a8c7d6e2
MDP
https://www.cnblogs.com/pinard/p/9426283.html
mercer定理
https://cloud.tencent.com/developer/article/1084521
MH
https://www.cnblogs.com/RyanXing/p/9469338.html
MVM
https://segmentfault.com/a/1190000012066916?utm_source=tag-newest
nemenyi后续检验
https://blog.csdn.net/qqMiSa/article/details/98660515
OVO,OVR
https://blog.csdn.net/kylin_learn/article/details/82014684
P-R,ROC曲线
https://www.cnblogs.com/gczr/p/10137063.html
PCA
https://www.cnblogs.com/liu-jun/archive/2013/03/20/2970132.html
Q-学习
https://www.jianshu.com/p/44ce8a55d820
Rademacher复杂度
https://blog.csdn.net/weixin_44370695/article/details/86240585
RBF
https://www.cnblogs.com/pinking/p/9349695.html
RELU
https://www.cnblogs.com/suanec/p/4857457.html
RIPPER
https://www.cnblogs.com/hgz-dm/p/10886175.html
RKHS
https://blog.csdn.net/a358463121/article/details/86358480
SVM支持向量机，这玩意是个难点，可以看看哔哩哔哩上面浙大的视频，挺不错的还
https://www.jiqizhixin.com/articles/2018-10-17-20
https://www.bilibili.com/video/BV1dJ411B7gh?from=search&seid=4887619941912861342
sarsa
https://www.jianshu.com/p/9bbe5aa3924b
sigmoid这个太基础了，1/（1+exp^(-x))
softmax
https://blog.csdn.net/bitcarmanlee/article/details/82320853
SOM
https://blog.csdn.net/wj176623/article/details/52526617
Stacking
https://blog.csdn.net/king_700/article/details/100554668
TD-leaning
https://zhuanlan.zhihu.com/p/70226824ring
VC维
https://blog.csdn.net/qq_39521554/article/details/80019816
WEKA这是个用来数据处理的应用
https://blog.csdn.net/qq_38549200/article/details/82668179